Advanced Structural Textile Composites Forming: Characterization, Modeling, and Simulation comprehensively describes the influence of fiber/fabric architectures and properties on composites forming, along with their deformability and structural optimization, covering the latest advances in the composites forming field. Part one reviews textile reinforcement architectures and discusses the forming behaviors of important 2D and 3D fabrics. Part two discusses numerical models to conduct simulation analysis of different structural composites forming at mesoscopic and macroscopic scales, in particular, 3D preforms with through-the-thickness yarns. Part three looks at the latest developments in the relationship between forming and other steps in composite manufacturing, such as resin injection, and automated fiber placement (AFP) and the effects on certain mechanical properties, such as structural damage and impact resistance. The book will be an essential reference for academic researchers, industrial engineers and materials scientists working with the manufacture and design of fiber-reinforced composite materials. – Describes the influence of the fiber/fabric architectures and properties on composites forming, along with their deformability and structural optimization- Provides numerical modeling and simulation of different fiber-reinforced composites forming at mesoscopic and macroscopic scales, in particular, reinforcements with discontinue fibers, and 3D preforms with through-the-thickness yarns- Discusses cutting edge topics such as resin injection, and automated fiber placement (AFP) and the effects of forming results on mechanical properties such as structural damage and impact resistances
Nahiene Hamila & Peng Wang
Advanced Structural Textile Composites Forming [EPUB ebook]
Characterization, Modeling, and Simulation
Advanced Structural Textile Composites Forming [EPUB ebook]
Characterization, Modeling, and Simulation
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Sprache Englisch ● Format EPUB ● ISBN 9780443215797 ● Herausgeber Nahiene Hamila & Peng Wang ● Verlag Elsevier Science ● Erscheinungsjahr 2024 ● herunterladbar 3 mal ● Währung EUR ● ID 9689843 ● Kopierschutz Adobe DRM
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